Case Study
AI Document
Intelligence Platform
Automating document processing with AI for faster, smarter and more accurate information extraction.
01 / Overview
Project Overview
An AI-powered document intelligence platform that automates the extraction, classification and validation of data from various document types, reducing manual effort and improving accuracy.
Role
AI/ML & Full Stack Development
Duration
5 Months
Industry
Enterprise Solutions
Services
OCR, NLP, Document Processing, Workflow Automation
02 / Challenge
The Challenge
An AI-powered document intelligence platform that automates the extraction, classification and validation of data from various document types, reducing manual effort and improving accuracy.
Diverse Document Formats
Multiple document types with different layouts and structures
Low Extraction Accuracy
Manual errors and inconsistent data extraction.
High Processing Time
Time consuming verification and approval workflows.
03 / Solution
The Solutions
We built an end-to-end document intelligence platform using OCR, NLP and machine learning to automatically extract, classify and validate data with a human-in-the-loop review process for higher accuracy.
Document Ingestion
Upload or scan documents from multiple sources
OCR & Text Extraction
Extract text and key information using AI
Classification
Automatically classify document type
Data Validation
Validate extracted data with business rules
Human Review
Review low-confidence results with an approval workflow
Integration
Send data to enterprise systems via APIs
04 / Technology
Technology Used
Docker
Containerization
OpenCV
Image Processing
PostgreSQL
Database
FastAPI
APIs & Services
Python
Backend Development
TensorFlow
ML Models
Tesseract OCR
Text Extraction
05 / Impact
Business Impact
70%
Reduction in manual effort
3X
Faster document processing
98%+
Extraction accuracy
70%
Lower processing cost